Pith Number
pith:FU6Q6YDX
pith:2017:FU6Q6YDXTIVE2OCOSD5POCXB67
not attested
not anchored
not stored
refs pending
Embedding-Based Speaker Adaptive Training of Deep Neural Networks
arxiv:1710.06937 v1 · 2017-10-17 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FU6Q6YDXTIVE2OCOSD5POCXB67}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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claim
4
Citations
5
Replications
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Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Receipt and verification
| First computed | 2026-05-18T00:32:27.603711Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2d3d0f60779a2a4d384e90faf70ae1f7ce41dbfacc382c486cc0cbe71355a243
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FU6Q6YDXTIVE2OCOSD5POCXB67 \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 2d3d0f60779a2a4d384e90faf70ae1f7ce41dbfacc382c486cc0cbe71355a243
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5eb7fa3bd641a77bb3a73743e9270a04a3c66e4745c243bd26d2a79693263440",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2017-10-17T17:10:11Z",
"title_canon_sha256": "82581e3d6c98436fea8f9396c8362de5ff4ceaa4bbfef6acebe8453a4420c377"
},
"schema_version": "1.0",
"source": {
"id": "1710.06937",
"kind": "arxiv",
"version": 1
}
}